maglagla's picture
Create app.py
75a341e
raw history blame
No virus
554 Bytes
import streamlit as st
from transformers import pipeline
from textblob import TextBlob
pipe = pipeline('sentiment-analysis')
st.title("Hugging Face Sentiment Analysis Spaces Example")
st.subheader("What framework would you like to use for Sentiment Analysis")
#Picking what NLP task you want to do
option = st.selectbox('Framework',('Transformers', 'TextBlob')) #option is stored in this variable
#Textbox for text user is entering
st.subheader("Enter the text you'd like to analyze.")
text = st.text_input('Enter text') #text is stored in this variable